Store MCP Server

A Model Context Protocol (MCP) server that enables AI agents to store and retrieve information persistently.

Project Structure

store_mcp/
├── README.md                 # This file
├── pyproject.toml           # Project dependencies and configuration
├── src/
│   └── store_mcp/
│       ├── __init__.py      # Package initialization
│       ├── server.py        # Main MCP server implementation
│       └── storage.py       # Storage backend (JSON/SQLite)
└── tests/
    ├── __init__.py
    └── test_server.py       # Unit tests

Features

• Store Information: Save key-value pairs or structured data

• Retrieve Information: Query stored data by key or search criteria

• List Keys: View all available stored keys

• Delete Information: Remove stored data when no longer needed

• Persistent Storage: Data persists across sessions

Installation

# Install dependencies
pip install -e .

Usage

# Run the MCP server
python -m store_mcp.server

MCP Tools

The server exposes the following tools to AI agents:

• store_data: Store information with a key

• retrieve_data: Retrieve information by key

• list_keys: List all stored keys

• delete_data: Delete stored information by key

• search_data: Search stored information by pattern or content

Configuration

MCP Client Configuration

To use this server with an MCP client (like Claude Desktop), add it to your MCP settings configuration file:

For Claude Desktop on MacOS: ~/Library/Application Support/Claude/claude_desktop_config.json

For Claude Desktop on Windows: %APPDATA%\Claude\claude_desktop_config.json

{
  "mcpServers": {
    "store": {
      "command": "python",
      "args": [
        "-m",
        "store_mcp.server"
      ],
      "env": {
        "PYTHONPATH": "/absolute/path/to/store_mcp/src"
      }
    }
  }
}

Alternative using uvx (if installed via pip):

{
  "mcpServers": {
    "store": {
      "command": "uvx",
      "args": [
        "--from",
        "/absolute/path/to/store_mcp",
        "python",
        "-m",
        "store_mcp.server"
      ]
    }
  }
}

Storage Configuration

The server uses a local file-based storage system (JSON) located at:

• Default: ~/.store_mcp/data.json

To use a custom storage location, modify server.py and initialize Storage with a custom path:

storage = Storage("/path/to/custom/data.json")

Environment Variables

You can set the following environment variables:

• STORE_MCP_PATH: Custom path for the storage file (default: ~/.store_mcp/data.json)

Example configuration with custom storage path:

{
  "mcpServers": {
    "store": {
      "command": "python",
      "args": ["-m", "store_mcp.server"],
      "env": {
        "PYTHONPATH": "/absolute/path/to/store_mcp/src",
        "STORE_MCP_PATH": "/custom/path/to/storage.json"
      }
    }
  }
}

Development

# Run tests
pytest tests/

Requirements

• Python 3.10+

• mcp library